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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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base_model: facebook/esm2_t6_8M_UR50D |
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model-index: |
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- name: esm2_t6_8M_UR50D-localization-v1-finetuned-localization |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# esm2_t6_8M_UR50D-localization-v1-finetuned-localization |
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This model is a fine-tuned version of [facebook/esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2123 |
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- F1: 0.7355 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:| |
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| 0.4992 | 1.0 | 2048 | 0.5178 | 0.5567 | |
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| 0.4623 | 2.0 | 4096 | 0.3970 | 0.6536 | |
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| 0.3754 | 3.0 | 6144 | 0.5035 | 0.7153 | |
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| 0.3396 | 4.0 | 8192 | 0.6703 | 0.6598 | |
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| 0.2128 | 5.0 | 10240 | 0.7133 | 0.6876 | |
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| 0.1336 | 6.0 | 12288 | 0.9024 | 0.7065 | |
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| 0.0607 | 7.0 | 14336 | 0.9994 | 0.6841 | |
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| 0.025 | 8.0 | 16384 | 1.1050 | 0.7046 | |
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| 0.0098 | 9.0 | 18432 | 1.2199 | 0.7119 | |
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| 0.0047 | 10.0 | 20480 | 1.2123 | 0.7355 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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